Talk:Structural risk minimization

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Ridge regression

The $J(\theta )={\frac {1}{2n}}\sum _{i=1}^{n}(h_{\theta }(x^{i})-y^{i})^{2}+{\frac {\lambda }{2}}\sum _{j=1}^{d}\theta _{j}^{2}$ expression looks like ridge regression and the article sounds like regularization, which started much earlier than 1974. Is this another example of machine learning reinventing statistics? 2A00:23C6:148A:9B01:FD80:6DD5:B1DD:C160 (talk) 02:05, 3 October 2023 (UTC)[reply]